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Skills

Analytical: Statistical Modeling, Causal Inference, Machine Learning, Deep Learning (Computer Vision & NLP)

Programming: R, Python, SQL

Packages: tidyverse, tidymodels, shiny, pandas, numpy, sklearn, spaCy, nltk, Tensorflow, Keras

Tools: Git, Docker, Azure ML Studio




Disclaimer

CV built using datadrivencv & pagedown.

Last updated on 2021-11-24.

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Paul Johnson

QUANTITATIVE SOCIAL SCIENTIST

DATA SCIENCE & MACHINE LEARNING

I am a social scientist and data scientist based in London. My academic research has focused on party and party system change in established political systems. Professionally, I am interested in using statistical methods and machine learning for modeling human behavior and the social world.

Education

M.A. Political Science

University of Houston

Houston, TX

2020 - 2017

M.Sc. Global Politics

University of Southampton

Southampton, UK

2012 - 2011

B.A. Politics

University of Sussex

Brighton, UK

2011 - 2008

Selected Work Experience

Principal Data Scientist

NHS South, Central and West CSU

Remote

Present - 2021

  • Leading research on the wider determinants of health inequalities and supporting the development of SCW’s health inequalities dashboard
  • Supporting analytics and research projects across the organization with statistical inference and machine learning techniques

Associate BI Consultant

NHS South, Central and West CSU

Remote

2021 - 2021

  • Supported the Population Health Management team with research design, statistical modeling, and communication and visualization of findings

Graduate Research Assistant

University of Houston

Houston, TX

2020 - 2018

  • Developed natural language processing models for research into political language in legal texts
  • Supported the Political Party Database Project Survey

Graduate Teaching Assistant

University of Houston

Houston, TX

2020 - 2017

  • Courses: Intro to Comparative Politics, Mexican Politics, Comparative Elections, Media & Politics

Fundraising Manager: Product Innovation

Marie Curie

London, UK

2017 - 2016

  • Managed Marie Curie’s biggest regular fundraising campaign (Fundraising My Way)
  • Assisted the development of new fundraising products and the innovation of existing campaigns

Events & Corporate Fundraiser

World Child Cancer

London, UK

2016 - 2015

  • Developed, recruited, and managed the charity’s largest charity event to-date (Kilimanjaro trek) and various major events (Ride 100, Great North Run)
  • Supported the Head of Corporate Fundraising in the successful corporate partnership with Deutsche Bank

Further Work Experience

Various Administrative Roles

Charity Sector & NHS

UK

2015 - 2012

  • Family for Every Child – Events Coordinator
  • University Hospital Southampton – Oncology Outpatient Clerk
  • University Hospital Southampton – Income Management Assistant

Selected Publications

The Nationalization of Mexican Parties

P Johnson & F Cantu. (2020). Politica y Gobierno. 27 (2).

N/A

2020

  • Measuring the static and dynamic nationalization of Mexican parties, and the importance of national, state, and district factors in explaining the variance of the parties’ electoral support.

Ongoing Research

Hypothesis Testing for Reliability Statistics: A Permutation Approach

P Johnson & J Kirkland

N/A

N/A

Analyzing Bulgarian Constitutional Courts Using Natural Language Processing

L Tiede, T Bagashka, S Chappa, P Johnson

N/A

N/A

How does the Presence of a Publicly Funded News Broadcast Affect Trust in News Media?

P Johnson & B Sullivan

N/A

N/A